GraphCanon updated today · GitHub synced today · 33 views this month
Decision brief
lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options.
Good fit when
- When you need a dedicated solution for evaluating the performance and behavior of AI agents.
- If your development workflow requires integration in TypeScript environments, given that lmnr is built with TypeScript.
Avoid when
- When your primary observability needs are not specific to AI agents but cover a broader range of application monitoring services.
- For those preferring platforms with wider language support beyond TypeScript and Rust (the major languages highlighted for this tool).
- Hosting:
- self hosted - Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments.
- Requirements:
- Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment.
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install lmnrHow it fits your stack(16)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Related
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Laminar is an open-source observability platform built specifically to monitor and evaluate the performance of AI agents, providing insights into their behaviors and operations. It supports self-hosting as well as a managed platform option.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Aug 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Aug 20, 2026
- Languages
- typescript
Source: github.language · Aug 20, 2026
Categories
Graph entities
Tags
README
Getting started
The fastest and easiest way to get started is with our managed platform -> laminar.sh
Self-hosting with Docker compose
Laminar is very easy to self-host locally. For a quick start, clone the repo and start the services with docker compose:
git clone https://github.com/lmnr-ai/lmnr
cd lmnr
docker compose up -d
This will spin up a lightweight but full-featured version of the stack. This is good for a quickstart or for lightweight usage. You can access the UI at http://localhost:5667 in your browser.
You will also need to properly configure the SDK, with baseUrl and correct ports. See guide on self-hosting.
For production environment, we recommend using our managed platform or docker compose -f docker-compose-full.yml up -d.
For agents
This page has a .md twin and JSON over the API.